About You

You are a generalist with strong understanding of machine learning and experience turning prototypes into products. You are curious and enjoy experimenting with new tools and technology. You communicate complex ideas simply and effectively, and love collaboration.

You will have industry experience working on a range of recommender, machine translation, and related optimization systems. You are interested in applying this experience to developer tools.

You will bring the expertise needed to manage a machine learning lifecycle alongside experienced engineers building AI-powered software for running software.

Role

• Use your machine learning expertise to build products and features for the people that run and operate software

• Come up with original ideas that machine learning can provide value to our users, and rapidly prototype these ideas

• Lead a team from a technical perspective to establish machine learning best practices and influence software engineering culture

• Stay updated with emerging technologies, tools, and practices in the ML field. A strong understanding of ML libraries is one of your strengths. You’ll recommend specific tools and explain why they are the right solution.

• Rapid prototyping and iterative development will be your default methods for testing hypotheses and refining solutions.

• Lead data-related tasks, including data mining and cleaning, to ensure the quality and reliability of our data sources.

• Use standard machine learning methods to best use modern distributed and parallel environments.

Skills

• Knowledge of writing and debugging Python and knowledge of popular machine learning frameworks like PyTorch and JAX.

• Experience in one or more of the following areas: machine translation, recommender systems, natural language processing, or related machine learning field.

• Knowledge of web development patterns—we use Django but any experience with MVC frameworks is good

• Super communication skills— you’ll need to convey your ideas clearly to the team and the public

• Exposure to popular architectural patterns of scalable, data-driven applications

About You

You are an engineer who ships, and you have a real interest in emerging ML & AI technology. You communicate complex ideas simply and effectively, and love collaboration.

You will have industry experience working on fast (and fast-moving) backend applications. You are interested in applying this experience to developer tools especially.

You likely have a strong background in Python, although language is secondary to your ability to ship and learn as we build AI-powered software for running software.

Role

• Use your expertise to build products and features for the people that run and operate software

• Ship product quickly, from prototype to production

• Lead a team from a technical perspective to establish machine learning best practices and influence software engineering culture

• Stay updated with emerging technologies, tools, and practices in the ML field.

• Work on data-related tasks, including data mining and cleaning, to ensure the quality and reliability of our data sources.

• Work with ML-focused staff on fine-tuning ML models; using Retrieval Augmented Generation; testing and improving on LLM prompting and configuration

Skills

• Strong skills in Python, Ruby, or similar. Knowledge of Django is a plus although not required.

• Knowledge of, and interest in, using ML and AI technology at the application level. We don’t expect you’ve done this work in production-at-scale (yet), but you should have experience working with LLMs and other models

• Superb communication skills— you’ll need to convey your ideas clearly to the team and the public

• Exposure to popular architectural patterns of scalable, data-driven applications